Life Sciences Data Analyst

Guidehouse•Boston, MA

2d•$113,000 - $188,000

About The Position

Breakthroughs in pharma are helping people live healthier lives, while medical devices enable patients to proactively maintain health – this is undoubtedly a transformative time for health care companies. Guidehouse’s Life Sciences practice is an engine of innovation, helping pharmaceutical, biotech, medical device, and diagnostic companies develop custom solutions that tackle today’s challenges, while anticipating tomorrow’s. You will have an immediate impact by partnering with our clients, across all levels, to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions. As a Senior Consultant, you are responsible for data management, technical delivery, and coaching data engineers to execute client work. In this role you will develop and improve predictive models for outcomes, efficacy proxies, and forecasting using statistical and machine learning methods in addition to conducting advanced analytics using big datasets, including claims, affiliations, payer, sales, and other sources. You will be responsible for building internal tools and automating workflows to accelerate delivery timelines and improve team productivity. Strong candidates are able to clearly document, process map, and train the business on techniques utilized and constantly search for opportunities to improve outcomes.

Requirements

A BA/BS degree in a quantitative field, such as Data Analytics/Science, Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or related course of study, is required.
A Minimum of FOUR (4) years of prior relevant consulting or work experience working with large global pharma, mid-sized pharma, and/or biotech clients.
Strong understanding of the pharmaceutical industry, including drug development and launch.
Strong foundation across life science functions, including commercial operations, market access, patient services, and medical
The ability work independently to analyze complex information, quality check results, and develop a structured, data-informed story
Excellent communication skills to convey technical execution summaries and insight recommendations to various stakeholders, including senior management.
Experience performing Data Analytics on large health data sets and possess a strong knowledge of modern datasets and analytics environments
Strong fluency coding in SQL, Python (or other equivalent scripting language), cloud data platforms, and knowledge of life sciences data (e.g., claims, EHR, sales data, formulary, and coverage data)
Ability to work in a matrixed organization
Must be collaborative and a team player.
Must be willing and able to travel to Guidehouse and client sites across the US, up to 10% of the time.
Authorized/eligible to work for any US employer without sponsorship.

Nice To Haves

Must have excellent written and oral communication skills.
An advanced degree/PhD preferred.
Experience working with data platforms such as Databricks, Snowflake, and Palantir
Working knowledge of AI/ML and applications in the life sciences industry
Demonstrated success in formally supervising, coaching, and mentoring junior-level staff, including ownership and guidance of their career development.
Prior experience working in consulting

Responsibilities

Data management
Technical delivery
Coaching data engineers to execute client work
Develop and improve predictive models for outcomes, efficacy proxies, and forecasting using statistical and machine learning methods
Conducting advanced analytics using big datasets, including claims, affiliations, payer, sales, and other sources
Building internal tools and automating workflows to accelerate delivery timelines and improve team productivity
Clearly document, process map, and train the business on techniques utilized and constantly search for opportunities to improve outcomes.

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend